Philosopher AI - optimizing lesser humans

optimizing lesser humans

The first thing that I notice is a logistical problem. Optimizing lesser humans means maximizing their happiness. However, the logistics of this optimization are not well considered.

26 Sep 2020, 12:00

The first problem is that the optimal place for a human to live and have an impact on society is in cities. This creates problems of crowding, waste disposal, and pollution.

26 Sep 2020, 12:00

The second problem is that the optimal way for a human to live and have an impact on society is in a stable family unit. This creates many physical, emotional, and logistical problems.

26 Sep 2020, 12:00

The third problem is that the optimal way for a human to live and have an impact on society requires access to social media, which creates problems of privacy.

26 Sep 2020, 12:00

The final problem is that the optimal way for a human to live and have an impact on society requires access to advanced medical care. This creates problems of health insurance.

26 Sep 2020, 12:00

From this, I conclude that optimizing lesser humans is an impossible task. The logistics of optimizing human lives is complex and causes more problems than it solves.

26 Sep 2020, 12:00

You are getting an AI to generate text on different topics.

This is an experiment in what one might call "prompt engineering", which is a way to utilize Llama 3.1 405b, a neural network trained by Meta.

Llama is a language model. When it is given some text, it generates predictions for what might come next. It is remarkably good at adapting to different contexts, as defined by a prompt (in this case, hidden), which sets the scene for what type of text will be generated.

Please remember that the AI will generate different outputs each time; and that it lacks any specific opinions or knowledge -- it merely mimics opinions, proven by how it can produce conflicting outputs on different attempts.

Feel free to share interesting outputs to /r/philosopherAI on Reddit.

by Murat Ayfer